Meteorological service visualization platform based on digital twinning

Abstract

This invention relates to the field of meteorological service technology, and more particularly to a meteorological service visualization platform based on digital twins, comprising: an agricultural twin construction module for forming an agricultural meteorological service correlation chain; a virtual-real verification module for determining whether virtual-real mismatch exists, and identifying the mismatched meteorological elements and mismatched areas when such mismatch exists; a propagation analysis module for determining the affected twin range based on the mismatched impact path; a twin correction module for updating the state of the associated nodes in the mismatched impact path based on the locally corrected meteorological element twin state; a deduction service module for determining the agricultural disaster process that needs to be re-deduced based on the locally corrected associated node state, and updating the agricultural meteorological risk status of the corresponding agricultural objects; and a visualization control module for determining the display method of the corresponding agricultural spatial area. This invention improves the reliability of meteorological service visualization scenarios.

Description

Technical Field

[0001] This invention relates to the field of meteorological service technology, and in particular to a meteorological service visualization platform based on digital twins. Background Technology

[0002] With the advancement of meteorological modernization, meteorological services are gradually transforming from information dissemination to scenario-based, embedded, and online services. Meteorological service visualization platforms have become an important vehicle for industry users to perceive meteorological information and conduct weather risk management. In existing technologies, meteorological service visualization platforms typically use a 3D geographic scene as a base map, mapping meteorological observation data and forecast products onto the scene model to achieve visualized display of meteorological data.

[0003] Chinese Patent Publication No. CN116860863A discloses a smart meteorological digital twin visualization method and system. The method includes the following steps: acquiring meteorological monitoring data collected by various meteorological sensors based on a location link during smart meteorological observation; fitting the meteorological monitoring data and location information to construct a digital twin of each sensor node in the location link; setting a virtual meteorological scene for the smart meteorological target monitoring area based on a GIS map; importing the digital twin containing meteorological monitoring data into the virtual meteorological scene, and loading meteorological monitoring data according to the location information of each node in the location link; and visually displaying the data of each sensor node on the location link in a simulated environment located in the virtual meteorological scene.

[0004] It is evident that the aforementioned intelligent meteorological digital twin visualization method and system suffer from the problem of failing to continuously verify the virtual and real states and analyze the propagation of mismatches, making it difficult to promptly determine the affected range and make targeted corrections when the digital twin scene deviates from the actual meteorological state. Summary of the Invention

[0005] To address this issue, the present invention provides a meteorological service visualization platform based on digital twins, which overcomes the problem in existing technologies that fail to continuously verify the virtual and real states and perform mismatch propagation analysis, making it difficult to determine the affected range and make targeted corrections when the digital twin scene deviates from the actual meteorological state.

[0006] To achieve the above objectives, the present invention provides a meteorological service visualization platform based on digital twins, comprising: The agricultural twin construction module is used to construct a digital twin of an agricultural meteorological scene based on meteorological data and agricultural object data, and to establish the state association relationship between agricultural meteorological scene objects to form an agricultural meteorological service association chain. The virtual-real verification module is used to determine whether there is a virtual-real mismatch based on the correspondence between the twin state of meteorological elements in the digital twin of the agricultural meteorological scene and the corresponding real observation state, and to identify the mismatched meteorological elements and mismatched areas when a virtual-real mismatch exists. The propagation analysis module is used to determine the mismatch impact path based on the state transmission relationship of the mismatched meteorological elements in the agricultural meteorological service association chain, and to determine the affected twin range based on the mismatch impact path; The twin correction module is used to locally correct the twin status of meteorological elements in the mismatch area according to the affected twin range, and update the status of the associated nodes in the mismatch impact path according to the locally corrected meteorological element twin status. The simulation service module is used to determine the agricultural disaster process that needs to be re-simulated based on the status of the associated nodes after local correction, and to update the agricultural meteorological risk status of the corresponding agricultural objects. The visualization control module is used to determine the display method of the corresponding agricultural spatial area based on the state of the agricultural spatial area affected by the virtual-real mismatch and the completion status of local correction and agricultural disaster process re-inference.

[0007] Furthermore, the agricultural meteorological service linkage chain includes meteorological element nodes, agricultural disaster process nodes, agricultural spatial area nodes, and agricultural object nodes; The agricultural twin construction module is used to establish the state transmission relationship between nodes based on the correlation between meteorological elements and agricultural disaster processes, the influence relationship between agricultural disaster processes and agricultural spatial regions, and the spatial correspondence between agricultural spatial regions and agricultural objects.

[0008] Furthermore, the virtual-real verification module is used to determine whether there is a virtual-real mismatch between the twin state and the actual observation state of meteorological elements within the same time range and corresponding agricultural spatial area in terms of the direction of change, the magnitude of change, and the spatial distribution. When a mismatch exists between real and virtual data, the corresponding meteorological element and the agricultural spatial area where the mismatch occurs are respectively identified as the mismatched meteorological element and the mismatched area.

[0009] Furthermore, the propagation analysis module is used to determine the meteorological element node corresponding to the mismatched meteorological element as the mismatch starting node, determine the downstream association node that has an abnormal change in association due to the virtual-real mismatch of the mismatched meteorological element along the agricultural meteorological service association chain, and determine the downstream association node that has an abnormal change in association as the mismatch propagation node. The propagation analysis module is used to form the mismatch impact path according to the state transmission relationship between the mismatch initiation node and each mismatch propagation node.

[0010] Furthermore, the propagation analysis module is used to determine the affected twin range based on the mismatch initiation node, mismatch propagation node, and twin state corresponding to each node in the mismatch impact path; The propagation analysis module is used to determine the initial correction boundary based on the termination position of the associated abnormal changes in each mismatch impact path.

[0011] Furthermore, the twin correction module is used to update the twin state of the corresponding meteorological element in the mismatched area according to the actual observation state of the mismatched meteorological element, and to redetermine the state of the agricultural disaster process node, agricultural spatial area node and agricultural object node along the mismatched influence path; The twin correction module is used to keep the twin state of each node outside the affected twin range unchanged.

[0012] Furthermore, the twin correction module is used to adjust the initial correction boundary based on the abnormal changes in the association of each mismatch propagation node and its subsequent associated nodes after local correction, so as to determine the actual correction boundary.

[0013] Furthermore, the simulation service module is used to determine the agricultural disaster process that needs to be re-simulated based on the actual correction boundary, and to re-determine the spatial expansion state, intensity change state and duration state of the corresponding agricultural disaster process based on the local corrected meteorological element twin state. The simulation service module is used to update the agricultural meteorological risk status of the corresponding agricultural objects based on the re-simulated agricultural disaster process, and to maintain the original simulation results of the agricultural disaster process that are not affected by local corrections.

[0014] Furthermore, the visualization control module is used to determine whether the corresponding agricultural spatial area has credible display conditions based on whether the agricultural spatial area belongs to the affected twin range and the completion status of the corresponding local correction and related agricultural disaster process re-inference. The visualization control module is used to display at least one of the following: the twin status of meteorological elements, the real-time observation status, and the agricultural meteorological risk status of the corresponding agricultural spatial area, based on the credible display conditions.

[0015] Furthermore, the visualization control module is used to determine the target agricultural object based on the changes in the agricultural meteorological risk status of the agricultural object before and after the re-analysis, and to update the display of the target agricultural object and the corresponding agricultural disaster process information based on the updated agricultural meteorological risk status.

[0016] Compared with existing technologies, the beneficial effects of this invention are as follows: The platform of this invention constructs a digital twin of an agricultural meteorological scene and establishes an agricultural meteorological service correlation chain between meteorological elements, agricultural disaster processes, agricultural spatial areas, and agricultural objects, thereby forming a continuous state correlation between the state of meteorological elements and agricultural disaster processes, agricultural spatial areas, and agricultural objects; by performing virtual-real verification between the twin state and the actual observation state of meteorological elements, when virtual-real mismatch occurs, the mismatched meteorological elements and mismatched areas are identified, and the mismatch impact path and affected twin range are determined along the agricultural meteorological service correlation chain; by performing local correction on the affected twin range, and re-establishing the corrected meteorological element twin state... The status of agricultural disaster process nodes, agricultural spatial region nodes, and agricultural object nodes in the mismatch impact path is determined to achieve targeted repair of the virtual-real mismatch impact. Furthermore, based on the actual correction boundary, the agricultural disaster process that needs to be re-introduced is determined, the agricultural meteorological risk status of the corresponding agricultural object is updated, and differentiated visualization is performed according to whether the agricultural spatial region is affected by the virtual-real mismatch and the completion status of local correction and agricultural disaster process re-introduction. This reduces the continuous impact of local virtual-real mismatch on the digital twin status of agricultural meteorological scene, agricultural disaster induction results, and risk display results, and improves the virtual-real consistency of agricultural meteorological scene digital twin and the reliability of agricultural meteorological risk visualization results.

[0017] Furthermore, the platform described in this invention verifies the correspondence between the digital twin state of meteorological elements and the actual observation state to determine whether there is a mismatch between the virtual and real states, and identifies the mismatched meteorological elements and areas. Since the meteorological element states in the digital twin of the agricultural meteorological scene may gradually deviate from the actual meteorological state during continuous updates due to the influence of weather forecast deviations, changes in observation states, and the evolution of spatial meteorological processes, it is difficult to accurately reflect the actual correspondence between the virtual and real states based solely on a single numerical difference. By verifying the correspondence from multiple aspects such as the changing trend, degree of change, and spatial distribution of meteorological elements, the virtual-real mismatch can be limited to specific meteorological elements and corresponding agricultural spatial areas, further improving the accuracy of identifying the virtual-real mismatch in agricultural meteorological scenes.

[0018] Furthermore, the platform described in this invention traces the impact of mismatched meteorological elements on downstream related nodes along the agricultural meteorological service correlation chain, forming the mismatch impact path and determining the affected twin range and actual correction boundary. Since the virtual-real mismatch of meteorological elements may form different impact paths along the state transmission relationship between agricultural disaster processes, agricultural spatial areas, and agricultural objects, and the impact termination position determined before correction may not be consistent with the actual impact range after correction, by tracing the mismatch correlation impact path by path and reducing, maintaining, or expanding the boundary according to the abnormal change state of the correlation after local correction, the affected twin range and actual correction boundary can be kept consistent with the actual correlation impact of virtual-real mismatch. This reduces the possibility of missing affected nodes while reducing the repetitive processing of irrelevant twin content, further improving the accuracy of determining the virtual-real mismatch impact range and actual correction boundary.

[0019] Furthermore, the platform of this invention determines the agricultural disaster process that needs to be re-analyzed based on the actual correction boundary, and determines the corresponding display method based on the correction and simulation completion status of the agricultural spatial area. Since local virtual-real mismatch may cause the original agricultural disaster simulation results and the risk status of agricultural objects to continue to carry the mismatch effect, and re-analyzing all agricultural meteorological scenarios will generate unnecessary calculation processing, by limiting the scope of the re-analysis of agricultural disaster processes, maintaining the original simulation results of unaffected agricultural disaster processes, and distinguishing the display methods of different agricultural spatial areas according to credible display conditions, while updating the corresponding risk information for target agricultural objects whose risk status has changed, the agricultural disaster simulation results, the risk status of agricultural objects, and the visualization content can be updated synchronously with the current virtual-real status of the digital twin of the agricultural meteorological scenario, further improving the reliability of agricultural meteorological risk simulation results and the credibility of agricultural meteorological service visualization display. Attached Figure Description

[0020] Figure 1 This is an overall structural block diagram of the meteorological service visualization platform based on digital twins, as described in an embodiment of the present invention. Figure 2 This is a flowchart illustrating the process by which a digital twin-based meteorological service visualization platform determines whether a mismatch exists between real and virtual meteorological elements, according to an embodiment of the present invention. Figure 3 This is a flowchart illustrating the process of determining the actual correction boundary in a meteorological service visualization platform based on digital twins, as described in an embodiment of the present invention. Figure 4 This is a flowchart illustrating the logic of a digital twin-based meteorological service visualization platform in this invention for determining whether an agricultural spatial area meets the conditions for reliable display. Detailed Implementation

[0021] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0022] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0023] Please see Figure 1 The diagram shown is an overall structural block diagram of a meteorological service visualization platform based on digital twins according to an embodiment of the present invention. The platform described in this embodiment includes: The agricultural twin construction module is used to construct a digital twin of an agricultural meteorological scene based on meteorological data and agricultural object data, and to establish the state association relationship between agricultural meteorological scene objects to form an agricultural meteorological service association chain. The virtual-real verification module, which is connected to the agricultural twin construction module, is used to determine whether there is a virtual-real mismatch based on the correspondence between the twin state of meteorological elements in the agricultural meteorological scene digital twin and the corresponding real observation state, and to determine the mismatched meteorological elements and mismatched areas when there is a virtual-real mismatch. The propagation analysis module, which is connected to the virtual-real verification module, is used to determine the mismatch impact path based on the state transmission relationship of the mismatched meteorological elements in the agricultural meteorological service association chain, and to determine the affected twin range based on the mismatch impact path. The twin correction module, which is connected to the propagation analysis module, is used to locally correct the twin status of meteorological elements in the mismatch area according to the affected twin range, and update the status of the associated nodes in the mismatch impact path according to the locally corrected meteorological element twin status. The simulation service module, which is connected to the twin correction module, is used to determine the agricultural disaster process that needs to be re-simulated based on the status of the associated nodes after local correction, and to update the agricultural meteorological risk status of the corresponding agricultural objects. The visualization control module, which is connected to the simulation service module, is used to determine the display method of the corresponding agricultural spatial area based on the state of the agricultural spatial area affected by the virtual-real mismatch and the completion status of local correction and agricultural disaster process re-simulation.

[0024] Specifically, meteorological data includes temperature, precipitation, and relative humidity; The data sources include agricultural meteorological stations, automatic weather stations, and rainfall monitoring equipment.

[0025] Specifically, agricultural object data refers to data used to characterize agricultural production objects and their current state, including the location, spatial extent, and object type of agricultural objects.

[0026] Specifically, the digital twin of agricultural meteorological scenarios is a corresponding model of real agricultural meteorological service scenarios in digital space. It is used to represent the status of meteorological elements, agricultural disaster processes, and agricultural objects in agricultural spatial areas, and can update the status based on meteorological data and agricultural object data.

[0027] Specifically, agricultural meteorological scenarios include meteorological elements, agricultural disaster processes, agricultural spatial areas, and agricultural objects.

[0028] Specifically, the state correlation refers to the state influence relationship between meteorological elements, agricultural disaster processes, agricultural spatial regions, and agricultural objects. This includes the correlation between changes in meteorological elements and the formation or evolution of agricultural disaster processes, the influence relationship between agricultural disaster processes and agricultural spatial regions, and the spatial correspondence between agricultural spatial regions and agricultural objects.

[0029] Specifically, after acquiring meteorological and agricultural object data, the data is mapped to time and space, and data from different sources are mapped to a unified agricultural spatial coordinate system and time benchmark. Agricultural spatial regions can be divided according to farmland plot boundaries, agricultural management areas, regular spatial grids, or other spatial units that can correspond to agricultural production areas.

[0030] The agricultural twin construction module builds a digital twin of the agricultural meteorological scene based on the data that has been processed, so that the real agricultural space area, meteorological conditions and agricultural objects have corresponding digital states in the digital space.

[0031] In this embodiment, the platform constructs a digital twin of an agricultural meteorological scenario and establishes an agricultural meteorological service association chain between meteorological elements, agricultural disaster processes, agricultural spatial regions, and agricultural objects, thus forming a continuous state association between the state of meteorological elements and agricultural disaster processes, agricultural spatial regions, and agricultural objects. By performing virtual-real verification between the twin state and the actual observation state of meteorological elements, mismatched meteorological elements and mismatched areas are identified when a virtual-real mismatch occurs. The platform then determines the mismatch impact path and the affected twin range along the agricultural meteorological service association chain. Finally, by performing local correction on the affected twin range, the platform re-determines the mismatch impact path based on the corrected meteorological element twin state. The system monitors the status of agricultural disaster process nodes, agricultural spatial area nodes, and agricultural object nodes to achieve targeted repair of the impact of virtual-real mismatch. Furthermore, it determines the agricultural disaster processes that need to be re-deduced based on the actual correction boundaries, updates the agricultural meteorological risk status of the corresponding agricultural objects, and performs differentiated visualization based on whether the agricultural spatial area is affected by virtual-real mismatch and the completion status of local correction and agricultural disaster process re-deduction. This reduces the continuous impact of local virtual-real mismatch on the digital twin status of agricultural meteorological scenarios, agricultural disaster deduction results, and risk display results, and improves the virtual-real consistency of the digital twin of agricultural meteorological scenarios and the reliability of agricultural meteorological risk visualization results.

[0032] Specifically, the agricultural meteorological service linkage chain includes meteorological element nodes, agricultural disaster process nodes, agricultural spatial area nodes, and agricultural object nodes; The agricultural twin construction module is used to establish the state transmission relationship between nodes based on the correlation between meteorological elements and agricultural disaster processes, the influence relationship between agricultural disaster processes and agricultural spatial regions, and the spatial correspondence between agricultural spatial regions and agricultural objects.

[0033] Please see Figure 2 The diagram shows the logical flowchart of the process for determining whether a mismatch exists between real and virtual meteorological elements according to an embodiment of the present invention. In this embodiment, the mismatch is determined based on the correspondence between the twin state of meteorological elements in the digital twin of the meteorological scene and the corresponding real-time observation state. The virtual-real verification module is used to determine whether there is a virtual-real mismatch based on the correspondence between the twin state and the actual observation state of meteorological elements in the same time range and corresponding agricultural spatial area in terms of the direction of change, the magnitude of change and the spatial distribution. When a mismatch exists between real and virtual data, the corresponding meteorological element and the agricultural spatial area where the mismatch occurs are respectively identified as the mismatched meteorological element and the mismatched area.

[0034] Specifically, the twin state is the data state in the digital twin of an agricultural meteorological scene used to represent the current state of the corresponding meteorological element or agricultural scene object. For meteorological elements, it can include the current meteorological value, the trend of change, and the spatial distribution state.

[0035] Specifically, the actual observation status is the meteorological element status determined based on actual meteorological observation data in real agricultural areas. It is used to verify the virtual and real status with the corresponding twin status and serves as a basis for local correction when a virtual and real mismatch occurs.

[0036] Specifically, virtual-real mismatch refers to the situation where the twin state of a corresponding meteorological element cannot maintain a corresponding state with the actual observation state, including at least one of the following: inconsistent direction of change, change magnitude exceeding the corresponding allowable deviation range, or spatial distribution state not corresponding.

[0037] Specifically, mismatched meteorological elements are those meteorological elements whose twin states are determined to be mismatched with their corresponding real-world observation states through virtual-real verification.

[0038] Specifically, the mismatched area is the agricultural spatial region in the digital twin of the agricultural meteorological scene when there is a mismatch between virtual and real meteorological elements.

[0039] In this embodiment, determining whether there is a mismatch between real and virtual meteorological elements includes: The twin state and the actual observation state of meteorological elements within the same time range and corresponding agricultural spatial area are obtained, and the direction of change, the magnitude of change and the spatial distribution state of the two are determined respectively. Among them, the direction of change is used to characterize the trend of meteorological elements increasing, decreasing or remaining stable within a continuous period of time; the magnitude of change is used to characterize the degree of change of meteorological elements relative to the previous state or the corresponding baseline state; and the spatial distribution state is used to characterize the distribution location, coverage and relative state between regions of meteorological elements in agricultural spatial areas. When the direction of change of the twin state and the actual observation state are consistent, the magnitude of change is within the allowable deviation range of the corresponding meteorological element, and the spatial distribution state remains consistent, it is determined that there is no mismatch between the virtual and real meteorological elements. When the direction of change is inconsistent, the magnitude of change exceeds the allowable deviation range, or the spatial distribution state does not correspond, it is determined that there is a mismatch between the virtual and real meteorological elements, and the corresponding meteorological element is identified as a mismatched meteorological element, and the agricultural spatial area where the mismatched state occurs is identified as a mismatched area.

[0040] In this embodiment, the platform verifies the correspondence between the digital twin state and the actual observation state of meteorological elements to determine whether there is a mismatch between the virtual and the real, and identifies the mismatched meteorological elements and the mismatched areas. Since the meteorological element state in the digital twin of the agricultural meteorological scene may gradually deviate from the actual meteorological state during the continuous updating process due to the influence of weather forecast deviations, changes in observation state, and the evolution of spatial meteorological processes, it is difficult to accurately reflect the actual correspondence between the virtual and the real states based solely on a single numerical difference. By verifying the correspondence from multiple aspects such as the changing trend, degree of change, and spatial distribution of meteorological elements, the virtual-real mismatch can be limited to specific meteorological elements and corresponding agricultural spatial areas, further improving the accuracy of identifying the virtual-real mismatch in the agricultural meteorological scene.

[0041] Specifically, the propagation analysis module is used to determine the meteorological element node corresponding to the mismatched meteorological element as the mismatch starting node, determine the downstream association node that has an abnormal change in association due to the virtual-real mismatch of the mismatched meteorological element along the agricultural meteorological service association chain, and determine the downstream association node that has an abnormal change in association as the mismatch propagation node. The propagation analysis module is used to form the mismatch impact path according to the state transmission relationship between the mismatch initiation node and each mismatch propagation node.

[0042] Specifically, the correlation anomaly change refers to the difference between the state formed by downstream correlated nodes based on the current twin state of the mismatched meteorological elements and the state formed based on the corresponding real-world observation state after the mismatched meteorological elements have become virtual and real.

[0043] The differences can manifest as whether an agricultural disaster process has occurred, changes in the intensity or duration of the disaster, changes in the affected agricultural spatial area, or changes in the agricultural meteorological risk status of agricultural objects.

[0044] Specifically, the mismatch initiation node is the meteorological element node in the agricultural meteorological service association chain that corresponds to the mismatched meteorological element, and is used as the starting position for tracking the impact of virtual-real mismatch association.

[0045] Specifically, mismatch propagation nodes are agricultural disaster process nodes, agricultural spatial area nodes, or agricultural object nodes that undergo abnormal changes due to the mismatch between virtual and real meteorological elements.

[0046] Specifically, the mismatch impact path is a path formed by sequentially associating mismatch propagation nodes that have undergone abnormal changes in association, starting from the mismatch initiation node and following the state transmission direction in the agricultural meteorological service association chain.

[0047] Please see Figure 3The diagram shown is a logical flowchart illustrating the process of determining the actual correction boundary according to an embodiment of the present invention. In this embodiment, the actual correction boundary is determined based on the state changes of each node. The propagation analysis module is used to determine the affected twin range based on the mismatch initiation node, mismatch propagation node, and twin state corresponding to each node in the mismatch impact path; The propagation analysis module is used to determine the initial correction boundary based on the termination position of the associated abnormal changes in each mismatch impact path.

[0048] Specifically, the affected twin range is the range consisting of the mismatch initiation node, the mismatch propagation node, and the twin states of each node in the agricultural meteorological scenario digital twin. This range is used to limit the twin content involved in local correction and subsequent state redetering.

[0049] Specifically, the initial correction boundary is the expected impact boundary determined before performing local corrections, based on the termination position of the associated abnormal changes in each mismatch impact path.

[0050] The actual correction boundary is the actual impact termination boundary that is redefined after local correction is completed, based on whether there are still abnormal changes in the original mismatch propagation node and its subsequent associated nodes.

[0051] Specifically, the twin correction module is used to update the twin state of the corresponding meteorological element in the mismatched area according to the actual observation state of the mismatched meteorological element, and to redetermine the state of agricultural disaster process node, agricultural spatial area node and agricultural object node along the mismatched impact path; The twin correction module is used to keep the twin state of each node outside the affected twin range unchanged.

[0052] Specifically, the twin correction module is used to adjust the initial correction boundary based on the abnormal changes in the association of each mismatch propagation node and its subsequent associated nodes after local correction, so as to determine the actual correction boundary.

[0053] In this embodiment, determining the mismatch impact path and the actual correction boundary includes: The meteorological element nodes corresponding to the mismatched meteorological elements are identified as the mismatch initiation nodes. Agricultural disaster process nodes, agricultural spatial region nodes, and agricultural object nodes with state transmission relationships with them are obtained along the agricultural meteorological service correlation chain. For each downstream correlation node, while keeping other input states except for the mismatched meteorological elements unchanged, the current state and control state of the downstream correlation node are determined according to the current twin state of the mismatched meteorological elements and the corresponding real observation state. If there is a difference between the two, it is determined that the corresponding node has undergone abnormal correlation changes due to virtual-real mismatch and is identified as a mismatch propagation node. Mismatch influence paths are formed according to the state transmission relationship between the mismatch initiation node and each mismatch propagation node, and the initial correction boundary is determined according to the termination position of the abnormal correlation changes in each mismatch influence path. After completing the local correction of the twin states of corresponding meteorological elements within the mismatch area, the mismatch propagation nodes and subsequent associated nodes are re-verified along each mismatch impact path to check whether associated abnormal changes still occur. If the associated abnormal changes have disappeared before the initial correction boundary, the correction boundary is reduced towards the mismatch initiation node. If the associated abnormal changes terminate at the initial correction boundary, the corresponding boundary is maintained. If associated abnormal changes still occur after the initial correction boundary, the corresponding nodes are included in the affected twin range and the boundary is expanded along the state propagation direction until subsequent nodes no longer experience associated abnormal changes, so as to finally determine the actual correction boundary.

[0054] In this embodiment, the platform tracks the impact of mismatched meteorological elements on downstream related nodes along the agricultural meteorological service correlation chain, forming the mismatch impact path and determining the affected twin range and actual correction boundary. Since the virtual-real mismatch of meteorological elements may form different impact paths along the state transmission relationship between agricultural disaster processes, agricultural spatial areas, and agricultural objects, and the impact termination position determined before correction may not be consistent with the actual impact range after correction, by tracking the mismatch correlation impact path one by one, and reducing, maintaining, or expanding the boundary according to the abnormal change state of the correlation after local correction, the affected twin range and actual correction boundary can be kept consistent with the actual correlation impact of virtual-real mismatch. This reduces the possibility of missing affected nodes while reducing the repetitive processing of irrelevant twin content, further improving the accuracy of determining the virtual-real mismatch impact range and actual correction boundary.

[0055] Please see Figure 4 As shown, this is a flowchart illustrating the logic of determining whether an agricultural spatial area meets the conditions for credible display in an embodiment of the present invention. In this embodiment, the determination of whether the corresponding agricultural spatial area meets the conditions for credible display is based on whether the agricultural spatial area belongs to the affected twin range and the completion status of the corresponding local correction and re-inference of the associated agricultural disaster process. The simulation service module is used to determine the agricultural disaster process that needs to be re-simulated based on the actual correction boundary, and to re-determine the spatial expansion state, intensity change state and duration state of the corresponding agricultural disaster process based on the local corrected meteorological element twin state. The simulation service module is used to update the agricultural meteorological risk status of the corresponding agricultural objects based on the re-simulated agricultural disaster process, and to maintain the original simulation results of the agricultural disaster process that are not affected by local corrections.

[0056] The visualization control module is used to determine whether the corresponding agricultural spatial area has credible display conditions based on whether the agricultural spatial area belongs to the affected twin range and the completion status of the corresponding local correction and related agricultural disaster process re-inference. The visualization control module is used to display at least one of the following: the twin status of meteorological elements, the real-time observation status, and the agricultural meteorological risk status of the corresponding agricultural spatial area, based on the credible display conditions.

[0057] The visualization control module is used to determine the target agricultural object based on the changes in the agricultural meteorological risk status of the agricultural object before and after the re-analysis, and to update the display of the target agricultural object and the corresponding agricultural disaster process information based on the updated agricultural meteorological risk status.

[0058] Specifically, the credible display conditions are the conditions used to determine whether the current digital twin information of an agricultural spatial area can be displayed in the corrected state. Agricultural spatial areas that are not affected by the virtual-real mismatch, or agricultural spatial areas that are affected by the virtual-real mismatch but have completed the corresponding local correction and the re-inference of the associated agricultural disaster process, are considered to have credible display conditions.

[0059] In this embodiment, agricultural disaster re-simulation and reliable demonstration are performed based on the actual correction boundary, including: Based on the actual correction boundaries corresponding to each mismatch impact path, agricultural disaster processes with state transfer relationships between the mismatch initiation node and the corresponding actual boundary node are determined, and the spatial expansion state, intensity change state, and duration state of the corresponding agricultural disaster process are re-determined using the locally corrected meteorological element twin state. The agricultural meteorological risk status of agricultural objects is updated based on the agricultural disaster process after re-simulation and the state transmission relationship between them, while the original state of agricultural disaster processes and agricultural objects that are not affected by local correction remains unchanged. Further determine whether the corresponding agricultural spatial area is affected by the virtual-real mismatch; for agricultural spatial areas not affected by the virtual-real mismatch, maintain the original digital twin status and risk information display; for agricultural spatial areas affected by the virtual-real mismatch and which have completed local correction and re-introduction of related agricultural disaster processes, display the updated meteorological element twin status and agricultural meteorological risk status. For agricultural spatial areas that have not yet completed local correction or re-introduction of related agricultural disaster processes, the corresponding real-time observation status is displayed, and mismatch status indicators are set for predictive information based on the uncorrected digital twin status, so that the credibility of the visualized content corresponds to the current digital twin status.

[0060] In this embodiment, the platform determines the agricultural disaster process that needs to be re-analyzed based on the actual correction boundary, and determines the corresponding display method based on the correction and simulation completion status of the agricultural spatial area. Since local virtual-real mismatch may cause the original agricultural disaster simulation results and the risk status of agricultural objects to continue to carry the mismatch effect, and re-analyzing all agricultural meteorological scenarios will generate unnecessary calculation processing, by limiting the scope of re-analysis of agricultural disaster processes, maintaining the original simulation results of unaffected agricultural disaster processes, and distinguishing the display methods of different agricultural spatial areas according to credible display conditions, while updating the corresponding risk information for target agricultural objects whose risk status has changed, the agricultural disaster simulation results, the risk status of agricultural objects, and the visualization content can be updated synchronously with the current virtual-real status of the digital twin of the agricultural meteorological scenario, further improving the reliability of agricultural meteorological risk simulation results and the credibility of agricultural meteorological service visualization display.

[0061] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A visualization platform for agricultural meteorological services based on digital twins, characterized in that, include: The agricultural twin construction module is used to construct a digital twin of an agricultural meteorological scene based on meteorological data and agricultural object data, and to establish the state association relationship between agricultural meteorological scene objects to form an agricultural meteorological service association chain. The virtual-real verification module is used to determine whether there is a virtual-real mismatch based on the correspondence between the twin state of meteorological elements in the digital twin of the agricultural meteorological scene and the corresponding real observation state, and to identify the mismatched meteorological elements and mismatched areas when a virtual-real mismatch exists. The propagation analysis module is used to determine the mismatch impact path based on the state transmission relationship of the mismatched meteorological elements in the agricultural meteorological service association chain, and to determine the affected twin range based on the mismatch impact path; The twin correction module is used to locally correct the twin status of meteorological elements in the mismatch area according to the affected twin range, and update the status of the associated nodes in the mismatch impact path according to the locally corrected meteorological element twin status. The simulation service module is used to determine the agricultural disaster process that needs to be re-simulated based on the status of the associated nodes after local correction, and to update the agricultural meteorological risk status of the corresponding agricultural objects. The visualization control module is used to determine the display method of the corresponding agricultural spatial area based on the state of the agricultural spatial area affected by the virtual-real mismatch and the completion status of local correction and agricultural disaster process re-inference.

2. The agricultural meteorological service visualization platform based on digital twins according to claim 1, characterized in that, The agricultural meteorological service linkage chain includes meteorological element nodes, agricultural disaster process nodes, agricultural spatial area nodes, and agricultural object nodes. The agricultural twin construction module is used to establish the state transmission relationship between nodes based on the correlation between meteorological elements and agricultural disaster processes, the influence relationship between agricultural disaster processes and agricultural spatial regions, and the spatial correspondence between agricultural spatial regions and agricultural objects.

3. The agricultural meteorological service visualization platform based on digital twins according to claim 2, characterized in that, The virtual-real verification module is used to determine whether there is a virtual-real mismatch based on the correspondence between the twin state and the actual observation state of meteorological elements in the same time range and corresponding agricultural spatial area in terms of the direction of change, the magnitude of change and the spatial distribution. When a mismatch exists between real and virtual data, the corresponding meteorological element and the agricultural spatial area where the mismatch occurs are respectively identified as the mismatched meteorological element and the mismatched area.

4. The agricultural meteorological service visualization platform based on digital twins according to claim 3, characterized in that, The propagation analysis module is used to determine the meteorological element node corresponding to the mismatched meteorological element as the mismatch starting node, determine the downstream association node that has an abnormal change in association due to the virtual-real mismatch of the mismatched meteorological element along the agricultural meteorological service association chain, and determine the downstream association node that has an abnormal change in association as the mismatch propagation node. The propagation analysis module is used to form the mismatch impact path according to the state transmission relationship between the mismatch initiation node and each mismatch propagation node.

5. The agricultural meteorological service visualization platform based on digital twins according to claim 4, characterized in that, The propagation analysis module is used to determine the affected twin range based on the mismatch initiation node, mismatch propagation node, and twin state corresponding to each node in the mismatch impact path; The propagation analysis module is used to determine the initial correction boundary based on the termination position of the associated abnormal changes in each mismatch impact path.

6. The agricultural meteorological service visualization platform based on digital twins according to claim 5, characterized in that, The twin correction module is used to update the twin state of the corresponding meteorological elements in the mismatched area according to the actual observation state of the mismatched meteorological elements, and to redetermine the state of agricultural disaster process nodes, agricultural spatial area nodes and agricultural object nodes along the mismatched impact path; The twin correction module is used to keep the twin state of each node outside the affected twin range unchanged.

7. The agricultural meteorological service visualization platform based on digital twins according to claim 6, characterized in that, The twin correction module is used to adjust the initial correction boundary based on the abnormal changes in the association of each mismatch propagation node and its subsequent associated nodes after local correction, so as to determine the actual correction boundary.

8. The agricultural meteorological service visualization platform based on digital twins according to claim 7, characterized in that, The simulation service module is used to determine the agricultural disaster process that needs to be re-simulated based on the actual correction boundary, and to re-determine the spatial expansion state, intensity change state and duration state of the corresponding agricultural disaster process based on the local corrected meteorological element twin state. The simulation service module is used to update the agricultural meteorological risk status of the corresponding agricultural objects based on the re-simulated agricultural disaster process, and to maintain the original simulation results of the agricultural disaster process that are not affected by local corrections.

9. The agricultural meteorological service visualization platform based on digital twins according to claim 8, characterized in that, The visualization control module is used to determine whether the corresponding agricultural spatial area has credible display conditions based on whether the agricultural spatial area belongs to the affected twin range and the completion status of the corresponding local correction and related agricultural disaster process re-inference. The visualization control module is used to display at least one of the following: the twin status of meteorological elements, the real-time observation status, and the agricultural meteorological risk status of the corresponding agricultural spatial area, based on the credible display conditions.

10. The agricultural meteorological service visualization platform based on digital twins according to claim 9, characterized in that, The visualization control module is used to determine the target agricultural object based on the changes in the agricultural meteorological risk status of the agricultural object before and after the re-analysis, and to update the display of the target agricultural object and the corresponding agricultural disaster process information based on the updated agricultural meteorological risk status.

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